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EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
employs about 300 people. We are part of the Göttingen Campus, a collaboration between the university and non-university research institutions. The Laboratory for Fluid Physics, Pattern Formation and
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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engineering at the Technical University of Denmark (DTU), Department of Civil and Mechanical Engineering, section for Fluid Mechanics, Coastal and Maritime Engineering (FVM). The position will play an integral
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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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with at least 3 years of research experience in a field related to numerical fluid mechanics, scientific computing, or model-order reduction, who is willing to engage in innovative and interdisciplinary
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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and
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of the continuum equations governing the mechanics of fluids and soft solids. Ability to design theoretical models and carry out appropriate analytical calculations to achieve the proposed objectives. Experience in
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
Job Code: MPIDS-W086 Job Offer from June 23, 2025 We seek to fill one position in the research group on Turbulence and Particles in Fluids lead by Dr. Gholamhossein Bagheri and in collaboration with
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other sciences field by the time of hire and experience in a laboratory environment. Background in fluid mechanics and laboratory experiments is preferred. Data and image processing skills are also